• Journal of Ginseng Research
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• v.30 no.3
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• pp.132-136
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• 2006

This study was carried out to study the effect of emergence type of multiple stem and main bud on the quality of fresh and red ginseng in Korean ginseng. To achieve the aim of this study, characteristics of roots and quality factors were investigated. Single stem plants were 62.9% of the total samples, and the remainder(37.1%) were multiple stem plants. The number of stems affected considerably on root weight. Root weight of triple stem type with triple main bud was the largest among the types. As the number of stem per plant increased, the root quality became worse. In both single and multiple stem, the more the number of main buds was, the lower the quality grade was. Yield of the red ginseng was about 30%, showing little difference between single stem and multiple stem plant. As the number of stem increased, yield of Bonsam decreased. The quality grade of red ginseng of single stem was better than that of multiple stem. Multiple stem plant produced relatively more Yangsam and Japsam. As the number of main bud increased, the quality grade of ginseng decreased.

• Journal of Integrative Natural Science
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• v.6 no.1
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• pp.39-45
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• 2013

Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Taguchi has an idea that mean and variation are handled simultaneously to reduce the expected loss in products and processes. In the Taguchi parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was studied. In these studies, only single quality characteristic (or response) was considered. In this paper we propose how to simultaneously optimize for multiple quality characteristics (or multiresponse) using desirability function when we used the combined-array approach to assign control and noise factors.

• Journal of Industrial Technology
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• v.22 no.A
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• pp.201-210
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• 2002

The object of this study is to evaluate the factors affecting the water quality and to propose the influence of dominant factor quantitatively. The correlation analysis was performed to know the correlationship among the water quality items As a result of partial correlation analysis, it was shown that the water quality items are affected by the rainfall item directly. The factor analysis was performed to grasp some number of factors on each point for deducing the items of similar variable characteristics. The four points were divided into different factor groups. It was grasped that $NH_3-N$ and $NO_3-N$ Items have different variable characteristics after comparing the items. The Multiple regression analysis can decrease the number of observation. In the deduced multiple regression formula, it was shown that the rate of T-N, $NH_3-N$ and $NO_3-N$ in the independent variable took about 60% among all the regression formulas.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.251-254
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• 2000

The critical problem in dealing with multiple characteristics is how to compromise the conflict among the selected levels of the design parameters for each individual characteristic. In this study, First, Methodology using SN ratio optimized by univariate technique is proposed and a parameter design procedure to achieve the optimal compromise among several different response variables is developed. Second, to solve the issue on the optimal design for multiple quality characteristics, this study modelled the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms. The model will be used to determine the global optimal design parameters where there exists the conflict among the characteristics, which shows difference in optimal design parameters for the individual characteristics. Third, this paper propose a decision model to incorporates the values assigned by a group of experts on different factors in weighting decision of characteristic. Using this model, SN ratio of taguchi method for each of subjective factors as well as values of weights are used in this comprehensive method for weighting decision of characteristic.

• Journal of Korean Public Health Nursing
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• v.14 no.1
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• pp.41-60
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• 2000

This study was designed and undertaken to identify the related factors of family caregivers' depression & quality of life with stroke elderly patient. The data was collected from August 16th to September 5th. 1999. The subjects in this study were 70 caregivers and 70 patients with stroke who were hospitalized in 2 oriental medicine hospitals and 3 hospitals located in Junla-buk do. The data was analized using percentage. means. t-test. ANOVA and pearson's correlation coefficients, step-wise multiple regression done with the SAS program. The results of this study are as follows; 1. The score for family caregivers' depression was 45.2 when total score was 80. The family caregivers who got more than 50 scores belongs to highly depression group amount to $29\%$. 2. The score for family caregivers' quality of life was 37.04 when total score was 56. 3. In the significant relationship between family caregivers' depression and general characteristics of the family caregivers ; age. sex, income. In the significant relationship between family caregivers' quality of life and general characteristics of family caregivers: age, education, income. In the significant relationship between family caregivers' depression and quality of life and general characteristics of stroke elderly patient ; sex. 4. The depression degree showed significant differences in the variables of family caregiver's physical health(r=-0.307, p=0.011), stress(r=0.463. p=0.011). social support (r=-0.241. p=0.046) and elderly stroke patient's ADL(r=-0.313, p=0.009). The quality of life degree showed significant differences in the variables of family caregivers' depression(r=-0.564, p=0.001), stress(r=-0.322, p=0.008), social support (r=0.353. p=0.003). 5. The most important variable affecting family caregiver's depression was caregivers' physical symptom which accounted for $32.0\%$ of the total variance in which multiple regression analysis. Total variance affecting the family caregivers' depression was $49\%$. The most important variable affecting family caregivers' quality of life was caregivers' depression which accounted for $48\%$ of the total variance in which multiple regression analysis. Total variance affecting the family caregivers' quality of life was $61\%$.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.4
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• pp.99-111
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• 1994

Toguchi method is a systematic technique for designing high quality product at low cost. There are three steps in the Toguchi method, 1)system design, 2)parameter design, and 3)tolerance design. This paper considers the tolerance design for multiple performance characteristics which is practically important. We present two tolerance design procedures : grade selection and tolerance determining procedures. In grade selection procedure a scheme is presented that minimizes the sum of the price of low-level characteristics and the expected loss due to the variations of high-level characteristics. In tolerance determining procedure we determine the tolerances of the low-level characteristics.

• Journal of Korean Society for Quality Management
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• v.22 no.3
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• pp.34-53
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• 1994

Taguchi's robust design methodology has focused only on a single performance characteristic or response, but the quality of most products is seldom defined by a characteristic, and is rather the composite of a family of characteristics which are often interrelated and nearly always measured in a variety of units. The multiple performance characteristics problem is how to compromise the conflicts among the selected levels of the design parameters for each individual performance characteristic. In this paper, the modified desirability function using SN ratio which can be optimized by univariate technique is proposed and a parameter design procedure to achieve the best balance among several different response variables is developed We reanalyze two existing case studies by the proposed method and compare these results with ones by the sum of SN ratios and the expected weighted loss.

• Journal of Korean Society for Quality Management
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• v.38 no.4
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• pp.580-586
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• 2010

Performance variations in mixture products such as medicine, food, and chemicals can be caused by their own subcomponents. For instance, a discharge capacity of a lithium-ion battery depends upon the mixture ratio of ethylene, dimethyle, and ethyle-methyle, all of which are subcomponents of an electrolyte solution in the battery. Thus it is crucial to determine tolerances of the mixture ratio in order to maintain the product quality at a desired level. This paper is concerned with the tolerance design of the mixture ratio. In particular, minimizing variance around the mixture ratio is adopted as a decision criterion in this paper. An illustrative example with multiple quality characteristics is given as well.

• Food Science of Animal Resources
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• v.42 no.4
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• pp.655-671
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• 2022

There are differences of spectral characteristics between different types of meat cut, which means the model established using only one type of meat cut for meat quality prediction is not suitable for other meat cut types. A novel portable visible and near-infrared (Vis/NIR) optical system was used to simultaneously predict multiple quality indicators for different commercial meat cut types (silverside, back strap, oyster, fillet, thick flank, and tenderloin) from Small-tailed Han sheep. The correlation coefficients of the calibration set (R_c) and prediction set (R_p) of the optimal prediction models were 0.82 and 0.81 for pH, 0.88 and 0.84 for L^*, 0.83 and 0.78 for a^*, 0.83 and 0.82 for b^*, 0.94 and 0.86 for cooking loss, 0.90 and 0.88 for shear force, 0.84 and 0.83 for protein, 0.93 and 0.83 for fat, 0.92 and 0.87 for moisture contents, respectively. This study demonstrates that Vis/NIR spectroscopy is a promising tool to achieve the predictions of multiple quality parameters for different commercial meat cut types.

• Food Quality and Culture
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• v.3 no.1
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• pp.6-10
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• 2009

This study examined the effects of adding Pleurotus ostreatus, Agaricus bisporus and Flammulina velutipes on the quality characteristics of cookies and multiple purposes of wheat powders. The water content, crude protein content, mineral content, color value and sensory evaluation of mushroom cookies and multiple purposes of wheat powders were measured. In the case of cookies, the water content was 1.10-1.24% and crude protein content was 8.20-9.80%. General preferences, such as appearance, color, taste and texture, increased when mushroom was added to the cookies, especially flavor, which showed a much higher preference. In the studies where mushroom was added to wheat powders, the water content was 0.57-0.92% and crude protein content was 11.90-12.80%. The addition of mushroom to both of the cookies and multiple purposes of wheat powders resulted in a remarkable increase in the mineral content, especially Fe, K. In addition, an increase in the amount of added mushrooms resulted in an increase in the hunter L and a values; however, this also resulted in a decrease in the b value.